researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015 · cs.CVShow all

7 papers · 2 filters

cs.CV2015★ 22 cited

Nonlinear Local Metric Learning for Person Re-identification

Siyuan Huang, Jiwen Lu, Jie Zhou +1

Person re-identification aims at matching pedestrians observed from non-overlapping camera views. Feature descriptor and metric learning are two significant problems in person re-i…

cs.CV2015★ 26 cited

Natural Language Object Retrieval

Ronghang Hu, Huazhe Xu, Marcus Rohrbach +3

In this paper, we address the task of natural language object retrieval, to localize a target object within a given image based on a natural language query of the object. Natural l…

cs.CV2015★ 3.5k cited

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Song Han, Huizi Mao, William J. Dally

Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources. To address this limita…

cs.CV2015★ 15 cited

Automatic Concept Discovery from Parallel Text and Visual Corpora

Chen Sun, Chuang Gan, Ram Nevatia

Humans connect language and vision to perceive the world. How to build a similar connection for computers? One possible way is via visual concepts, which are text terms that relate…

cs.CV2015

Image Set Querying Based Localization

Lei Deng, Siyuan Huang, Yueqi Duan +2

Conventional single image based localization methods usually fail to localize a querying image when there exist large variations between the querying image and the pre-built scene.…

cs.CV2015★ 12 cited

CNN Based Hashing for Image Retrieval

Jinma Guo, Jianmin Li

Along with data on the web increasing dramatically, hashing is becoming more and more popular as a method of approximate nearest neighbor search. Previous supervised hashing method…

cs.CV2015★ 2 cited

3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement

Yankui Sun, Tian Zhang, Yue Zhao +1

With the introduction of spectral-domain optical coherence tomography (SDOCT), much larger image datasets are routinely acquired compared to what was possible using the previous ge…